Wednesday, March 11, 2026

Bosses and employees have completely different expectations about how much time they’ll save with AI

Bosses and employees have completely different expectations about how much time they’ll save with AI

Have you ever felt like your individual expectations don’t match those of your boss? With the proliferation of generative AI, this discrepancy could develop into much more acute.

According to a survey of employees and managers across the UK, bosses consider AI could save them 50% more time than their employees.

Managing expectations

The survey of 700 employees and 500 business leaders from large UK corporations, commissioned by Workday, found that bosses believed AI could save them 4.4 hours a day, while employees believed AI could save them 2.9 hours a day.

The differing expectations underscore a general phenomenon that has emerged for the reason that introduction of generative AI within the workplace: employers are overly optimistic concerning the capabilities of this technology.

There is an obvious gap between employees’ and managers’ perceptions of AI, suggesting that employees have greater fears about this technology.

While bosses thought a corporation’s primary motives for adopting AI were a mixture of motivated teams, wage growth, and operating profit, more cynical employees believed their company’s primary goal was simply profitability.

In addition, a 22 percentage point higher share of managers believed that AI could improve their profession development and opportunities than their employees.

“I think leaders are probably a bit more optimistic and optimistic by nature,” said Daniel Pell, head of Workday within the UK.

Bosses will hope they’ll turn their employees’ perceptions on their head. Failure to accomplish that could contribute to what they already see as a critical obstacle to productivity: disengaged employees.

Four out of ten employers said that unmotivated employees are damaging their company. Together with a scarcity of incentives, that is the most important obstacle to productivity improvements.

“I think when there is a new technology paradigm, employees are probably more concerned than leaders about the impact it will have on them and the reasons why companies are doing it,” Pell said.

“This is where companies need to think very carefully about how to use AI in a responsible and trustworthy way.”

What to do with AI?

Workday’s Pell says employers can reduce the trust deficit around AI by reassuring employees that it’ll have a positive impact on their workflows, including fewer administrative tasks and meetings and more time to work on creative projects.

There is growing evidence that AI is starting to enhance employees’ roles. ChatGPT and Microsoft Copilot, for instance, are starting to cut back administrative burdens, and there are many examples of early successes.

The British retailer Matalan, for instance, used AI to put in writing product descriptions on its website. This freed up the corporate’s copywriters and enabled them to concentrate on more creative tasks. The turnover rate was reduced.

Workforce Labs Research estimates that AI saves employees 97 minutes per week, a more modest number than Sapio’s research. But that free time has not at all times been used productively.

Commenting on the outcomes Assets In June, Slack CEO Denise Dresser said, “They’re still focused on working on work. That means we haven’t quite made the operational and mental shift that will take us to do new things.”

Even without AI, employers across the UK need to spice up productivity. Growth in output per employee has been sluggish for the reason that global financial crisis and continues to puzzle policymakers.

The study, commissioned by Workday, found that employees were productive for less than about 5.9 hours per day, meaning a few quarter of their eight-hour day was wasted time.

Workday’s Pell believes the power to make use of AI to perform more meaningful tasks should close this dead time.

If this were to occur, Workday estimates that AI could deliver £119 billion in productivity gains for big UK corporations.

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